We are looking for experienced Data Scientists to work with Convoy’s Carrier team. The Carrier team is responsible for managing the supply side of trucks in our marketplace. Our objective is to ensure that every shipment is matched with a carrier and that carriers can find the loads they are looking for on our app. You will be responsible for developing insights about our carrier network, building models, analyzing experiments, developing ROI measurement and working with business stakeholders to determine next steps with our product. Ideal candidates have experience delivering and enjoy working on high visibility and high impact projects.
You are a strong technical leader passionate about optimizing operations and improving the experience of Convoy’s carriers, shippers, and operations teams. You are an experienced manager, a thought leader with a vision for how to leverage data science to optimize every aspect of a business, and a collaborative partner excited about working cross-functionally to drive rapid change. You thrive in an ambiguous, fast-paced, and dynamic environment, and are excited to help Convoy deliver best-in-class service as efficiently as possible. If you want to think big about optimizing operations, are passionate about data, and want to see a tangible impact of your work, this is the role for you!
You have a proven ability to drive business results with data-based insights and are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. You’re capable of getting data for analysis on your own, without reliance on engineering, and you can build professional dashboards as standalone software products and tools. We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity. You can work independently, with little oversight or guidance.
We are hiring a Senior Data Scientist in Bellevue, Washington to help build, scale, and improve data models to drive key features and deliver critical insights across our food, home, and lifestyle products. The Senior Data Scientist will be an experienced scientist and leader on the Data Science and Analytics team. They will help advise and create a scalable data models using various modeling or machine learning techniques to support our direct-to-consumer products and apps.
As a Data Scientist, you’ll use your full toolkit - statistical modeling, machine learning, data mining, data visualization, and software engineering - to develop data products and models that are used by millions of users and power the growth of our business. You will collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace. Data scientists will work on how to formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates.
You will use apply statistics concepts like confidence intervals, point estimates and sample size to make sound and confident inferences on data and A/B tests.
You will use and manipulate large data sets to design algorithmic and machine learning solutions as well as provide business insights.
Apply solid coding skills, strong analytical and innovative thinking, and Machine Learning expertise to quickly learn new domains and turn innovative ideas into working solutions (from the London Document).
You will also communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external).
Develop, validate, and maintain data mining tools, algorithms, and other capabilities to solve fraud prevention problem.
Collaborate with other statisticians and data scientists to formulate innovative solutions to experiment and implement advanced modeling techniques.
Analyze data covering a wide range of information from customer profile to transaction history.
Identify new fraud patterns through data mining.
Communicate complex concepts and the results of the analyses in a clear and effective manner.
Collaborate with engineers and testers for model release.
Navigating Cancer is expanding its data analytics and science team to continue to build our world-class patient-reported outcomes (PRO) data set. In this role, you will be responsible for statistical analysis related to our PRO/EHR data strategy, drive technical execution, and help us create a best-in-class data science capability. You will work with various stakeholders both inside and outside the organization to execute on our research initiatives.
Come join this high performing entrepreneurial team to help formulate our Insurance strategy. If you enjoy using data and observations to build sounds business cases, solve business problems through machine learning modeling, improve on-going business activities and work on a team that functions as the “business owner” you will fit right in. In this role, you will use your analytical and business skills to inspire product, engineering, finance and customer support, and our strategic partners to prioritize, implement and scale our product ideas.
This Data Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. As a Data Scientist on this team, you will collaborate directly with economists and statisticians to produce modeling solutions, you will partner with software developers and data engineers to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
As a data scientist on Pivotal’s Data Science team, you’ll be working on a wide variety of data problems for a diverse range of clients. You will often be asked to learn new technologies and domains on the fly. You should be comfortable working under deadlines and making tough decisions. Consequently, you will frequently have to balance achieving an immediate goal with scalability and productionalizability.
The role offers room for personal and professional growth, and you won’t be working in isolation. Data Science at Pivotal is an encouraging and supportive team, where ideas and challenges are addressed collaboratively. We’re looking for the kind of person who will try and solve a problem on their own first, but isn't afraid to ask for help or say “I don’t know.”
Deep strategic analysis to improve our understanding of our advertising platform and its ability to enable us to meet advertiser objectives. Answer core ads measurement questions such as: How can we prove the effectiveness of ads to advertisers? Can we quantify how new ad features will impact key business metrics? How accurate is our offsite conversion data, and how well can we match incoming conversions to Pinterest users? What features of a conversion can help us inform decisions on ad distribution?
Product recommendations. Clearly communicate recommendations to Product and Engineering teams on how we can evolve our internal strategy to address shortcomings observed through deep analysis. Partner closely with Product to develop and evolve our long-term advertiser measurement strategy.